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On Multifractal Tissue Characterization in Ultrasound Imaging

机译:超声成像中的多重分形组织表征

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Tissue characterization based on ultrasound (US) images is an extensively explored research field. Most of the existing techniques are focused on the estimation of statistical or acoustic parameters from the backscattered radio-frequency signals, thus complementing the visual inspection of the conventional B-mode images. Additionally, a few studies show the interest of analyzing the fractal or multifractal behavior of human tissues, in particular of tumors. While biological experiments sustain such multifractal behaviors, the observations on US images are rather empirical. To our knowledge, there is no theoretical or practical study relating the fractal or multifractal parameters extracted from US images to those of the imaged tissues. The aim of this paper is to investigate how multifractal properties of a tissue correlate with the ones estimated from a simulated US image for the same tissue. To this end, an original simulation pipeline of multifractal tissues and their corresponding US images is proposed. Simulation results are compared to those in an in vivo experiment.
机译:基于超声(US)图像的组织表征是一个广泛探索的研究领域。现有技术中的大多数都集中于从反向散射的射频信号估计统计或声学参数,从而补充了常规B模式图像的视觉检查。另外,一些研究表明分析人体组织,特别是肿瘤的分形或多重分形行为的兴趣。尽管生物学实验支持这种多重分形行为,但对美国图像的观察却是经验性的。就我们所知,尚无理论或实践研究将从US图像中提取的分形或多重分形参数与成像组织的参数相关联。本文的目的是研究组织的多重分形特性与从相同组织的模拟US图像估计的分形特性如何相关。为此,提出了一种多分形组织及其相应的US图像的原始模拟流水线。将模拟结果与体内实验中的结果进行比较。

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